Triple

T22277444
Position Surface form Disambiguated ID Type / Status
Subject Ratlam Lok Sabha constituency E550643 entity
Predicate assemblySegment P63908 FINISHED
Object Ratlam City NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ratlam City | Statement: [Ratlam Lok Sabha constituency, assemblySegment, Ratlam City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ratlam City
Context triple: [Ratlam Lok Sabha constituency, assemblySegment, Ratlam City]
  • A. Ratlam chosen
    Ratlam is a prominent commercial city in western Madhya Pradesh, India, known for its railway junction, textile and chemical industries, and production of gold and silver jewelry.
  • B. Khandwa city
    Khandwa city is an urban center in the Indian state of Madhya Pradesh, known as a regional commercial and transportation hub.
  • C. Bhilsa
    Bhilsa is a historical town in the Vidisha district of Madhya Pradesh, India, known for its ancient Buddhist and Hindu archaeological sites.
  • D. Visnagar
    Visnagar is a town in the Mehsana district of Gujarat, India, known for its educational institutions and regional commercial activity.
  • E. Bhiwadi
    Bhiwadi is an industrial town in the Indian state of Rajasthan that forms part of the extended urban and economic area around Delhi.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea8a6688190bcd168670420ec59 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.